Minnesota is the land of 10,000 lakes (technically 11,842 > 10 acres)! This bold proclamation can be seen everywhere from license plates to tourism pamphlets; it reveals how much water matters to the state on not only a commercial level, but as the very identity of the community. At the...
With a glut of competing priorities, the financial industry faces major challenges in extracting timely, relevant, and specifically-focused information from text. Without clear-cut business cases, making the investment in text analysis methods does not justify the return on investment. Furthermore, the business landscape continues to become increasingly complex, and at...
Using transcripts from Kansas State University Libraries’ (KSUL) virtual reference services (VRS), an experimental design was created to investigate the value and impact of different natural language processing techniques in the context of creating predictive models. Models were created to use only the first few word tokens supplied by VRS...
The challenges of using inadequate online recruitment systems can be addressed with
machine learning and software engineering techniques. Bi-directional personalization
reinforcement learning-based architecture with active learning can get recruiters to recommend
qualified applicants and also enable applicants to receive personalized job recommendations.
This paper focuses on how machine learning...
Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...
The 2005 NHL Lockout instituted a hard salary cap, which is the most limiting salary cap of the major US sports leagues. The NHL as a result doesn’t have the luxury of overpaying or dumping a contract as other professional sports leagues have, which places a huge constraint and emphasis...
Advances in machine learning and artificial intelligence (AI) are enabling computers and robotics to take on an increasing number of work-related tasks that previously were the sole domain of humans. This trend raises questions: Which jobs will be most susceptible to replacement by automation? How many workers risk being replaced?...
This study explored the mentoring experiences of doctoral students in science, technology, engineering, and mathematics (STEM) doctoral degree programs at Northwestern University. Research suggests that mentoring relationships support student success in STEM disciplines, and further, that lack of mentorship may be a barrier for female students. A mixed-methods approach employing...
Regtech, a reference to the application of new technologies to bank regulation, mandates a conversation about reducing the burden of bank regulation by letting computers take over some of the handling of regulatory text. Bank regulations and the related manuals, guidance, or other supplements are mostly unstructured. Software tools and...